olllo

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31.
by olllo 1y ago
Thanks for the thoughtful feedback! Yes, Data.olllo uses including Polars under the hood for fast and efficient processing. A demo video is in the works and should be up soon. Good point about the "P Core/V Core" naming—I&#x2
32.
by olllo 1y ago
Thank you! I completely agree—TSVs/CSVs are such a simple yet powerful format, and it's great to hear you're making good use of them. I'm also a big fan of doing as much as possible locally—our machines are incredibly ca
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Show HN: CSV GB+ by Data.olllo – Open and Process CSVs Locally(apps.microsoft.com)
51 points by olllo 1y ago|23 comments
34.
by olllo 1y ago
Data.olllo is a fast, intuitive tool that allows you to explore, process, and visualize data effortlessly, all on your local device—keeping your data private and secure. Keep your data private with no risk of release or sharing. Processed s
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Brand New Version of Data.olllo(apps.microsoft.com)
1 points by olllo 2y ago|0 comments
36.
by olllo 2y ago
Data.olllo is an innovative data manipulation and analysis tool designed to empower users with a powerful interface for exploring, processing, and visualizing data without requiring any coding knowledge. The application provides a user-frie
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Data.olllo No Code Data Assistant(apps.microsoft.com)
1 points by olllo 2y ago|1 comments
38.
by olllo 2y ago
The influence would be: 1. Focus on building something; 2. Focus on improving both technology and theory; 3. ...
39.
by olllo 2y ago
They say, find you target customers and directly message them.
40.
How to Open Large Data Files When Excel Fails(olllo.top)
2 points by olllo 2y ago|1 comments
41.
by olllo 2y ago
Have you ever tried to open a large .csv file in Excel only to find that it crashes or takes too long? Many tools, including Excel, have difficulty handling large datasets, especially when they exceed Excel's row limit or memory capaci
42.
PyInstaller or Nuitka?(olllo.top)
2 points by olllo 2y ago|1 comments
43.
by olllo 2y ago
Here's a short post for "X": I've been working with Python for years, and when it comes to compiling Python code into a packaged executable, there are a few options out there. Two popular tools are PyInstaller and Nuitka